Optimization method, system and equipment for arranging height of discharge port overflow weir and storage medium

Abstract

The invention discloses an optimization method, system and equipment for arranging the height of a discharge port overflow weir, and a storage medium, and belongs to the technical field of transformation and optimization of urban drainage systems. The method comprises the following steps: acquiring pre-determined analysis indexes and original data of the analysis indexes under different rainfall and overflow weir height conditions; performing standardization processing on the original data to obtain standard data of the analysis indexes, and screening a maximum value and a minimum value corresponding to each analysis index in the standard data; calculating the weight of each analysis index according to the standard data; based on the maximum value, the minimum value and the weight corresponding to each analysis index, calculating to obtain a comprehensive score index; and determining the arrangement height of the overflow weir based on the comprehensive score index. The optimization scheme for determining the height of the discharge port overflow weir through the comprehensive score index solves the contradiction between urban overflow pollution and waterlogging treatment, and provides a scientific basis and guiding significance for the arrangement of the height of the discharge port overflow weir of the urban pipeline.

Description

Technical Field

[0001] The present invention belongs to the technical field of urban drainage system renovation and optimization, and particularly relates to an optimization method, system, device and storage medium for arranging the height of a drainage outlet overflow weir. Background Art

[0002] In recent years, with the increase in global temperature and the continuous increase in warm and humid airflows, the frequency of extreme rainstorms has been increasing, resulting in poor operation of urban drainage systems, frequent urban waterlogging and ponding problems. At the same time, the contribution of urban overflow pollution to water pollution has become increasingly prominent. The overflow sewage contains various pollutants, with high concentration and strong impact characteristics, posing a serious threat to the quality of the urban water environment. Therefore, it is urgent to control waterlogging and overflow pollution.

[0003] However, there is a certain contradiction between urban overflow pollution control and waterlogging control: for overflow pollution control, the drainage system needs to discharge less and slowly, so that the sewage remains in the pipeline; for waterlogging control, the drainage system needs to discharge more and quickly, so that the accumulated water in the pipeline can be discharged as much as possible to increase the pipeline storage space. This leads to the fact that most of the existing technologies cannot solve the contradiction between urban overflow pollution control and waterlogging control, often taking one thing into consideration while neglecting another, resulting in general treatment effects and unable to solve practical problems.

[0004] As a commonly used interception means for urban rainwater drainage outlets at present, the height arrangement of the overflow weir is particularly important for urban overflow pollution control and waterlogging control. Summary of the Invention

[0005] The purpose of the present invention is to overcome the deficiencies in the prior art, and provide an optimization method, system, device and storage medium for arranging the height of a drainage outlet overflow weir, which solves the contradiction between urban overflow pollution control and waterlogging control by optimizing the height of the overflow weir, and provides a scientific basis and guiding significance for the arrangement of the height of the urban pipeline drainage outlet overflow weir.

[0006] The present invention provides the following technical solutions:

[0007] In the first aspect, an optimization method for arranging the height of a drainage outlet overflow weir is provided, including: obtaining pre-determined analysis indicators and the original data of the analysis indicators under different rainfall and overflow weir height conditions; standardizing the original data of the analysis indicators to obtain the standard data of the analysis indicators, and screening the maximum and minimum values corresponding to each analysis indicator in the standard data; calculating the weights of each analysis indicator according to the standard data; calculating a comprehensive score index based on the maximum and minimum values and weights corresponding to each analysis indicator; and determining the arrangement height of the overflow weir based on the comprehensive score index.

[0008] As an alternative technical solution of the present invention, the analysis indicators include the overflow reduction rate, the overflow load reduction rate, the water accumulation depth, and the water accumulation area.

[0009] As an alternative technical solution of the present invention, normalizing the original data of the analysis indicators to obtain the standard data of the analysis indicators includes: dividing the analysis indicators into positive indicators and negative indicators; the positive indicators include the overflow reduction rate and the overflow load reduction rate, and the negative indicators include the water accumulation depth and the water accumulation area;

[0010] Normalize the original data of the positive indicators and negative indicators respectively;

[0011] The normalization process of the original data of the positive indicators is expressed as:

[0012] ;

[0013] The normalization process of the original data of the negative indicators is expressed as:

[0014] ;

[0015] Where, represents the standard data of the j-th analysis indicator of the i-th analysis object, represents the original data of the j-th analysis indicator of the i-th analysis object, represents the maximum value of the original data of the j-th analysis indicator among all analysis objects, represents the minimum value of the original data of the j-th analysis indicator among all analysis objects.

[0016] As an alternative technical solution of the present invention, screening the maximum and minimum values corresponding to each analysis indicator in the standard data includes: Screen the standard data of the j-th analysis indicator among all analysis objects, and record the maximum value as , and record the minimum value as .

[0017] As an alternative technical solution of the present invention, calculating the weight of each analysis indicator according to the standard data includes: Calculate the information entropy value of the j-th analysis indicator according to the standard data, which is expressed as: ; Where, n represents the total number of analysis objects, k represents a constant, ; The information utility value of the j-th analysis indicator, which is expressed as: ; The weight of the j-th analysis index , expressed as: ; where m represents the total number of analysis indices.

[0018] As an alternative technical solution of the present invention, calculating the comprehensive score index based on the maximum and minimum values and weights corresponding to each analysis index includes: Calculating the distance between the i-th analysis object and the maximum value , expressed as: ; Calculating the distance between the i-th analysis object and the minimum value , expressed as: ; The comprehensive score index is expressed as: .

[0019] In a second aspect, an optimization system for arranging the height of a drainage outlet overflow weir is provided, including:

[0020] An original data acquisition module for acquiring predetermined analysis indices and original data of the analysis indices under different rainfall and overflow weir height conditions;

[0021] A normalization processing module for normalizing the original data of the analysis indices to obtain standard data of the analysis indices, and screening the maximum and minimum values corresponding to each analysis index in the standard data;

[0022] A weight calculation module for calculating the weights of the analysis indices according to the standard data;

[0023] A comprehensive score index calculation module for calculating a comprehensive score index based on the maximum and minimum values and weights corresponding to each analysis index;

[0024] A scheme determination module for determining the arrangement height of the overflow weir based on the comprehensive score index.

[0025] In a third aspect, a device is provided, including: a memory, a processor, and a computer program;

[0026] wherein, the computer program is stored in the memory and is configured to be executed by the processor to implement the method as described in the first aspect.

[0027] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the method as described in the first aspect is implemented.

[0028] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0029] An optimization method for arranging the height of the outlet overflow weir provided by the present invention obtains the original data of the analysis index under different rainfall and overflow weir height conditions, calculates the comprehensive score index based on the original data, and more comprehensively and objectively considers the influence of the overflow weir height under different conditions. Furthermore, it determines its optimization scheme, providing a scientific basis and guiding significance for arranging the height of the urban pipeline outlet overflow weir, and solving the contradiction between urban overflow pollution and waterlogging control. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a flowchart of the optimization method for arranging the height of the outlet overflow weir in the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0031] The present invention will be further described below with reference to the drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present invention and should not be used to limit the protection scope of the present invention.

[0032] Embodiment 1

[0033] This embodiment provides an optimization method for arranging the height of the outlet overflow weir, as Figure 1 shown, specifically including the following steps:

[0034] Step 1: Obtain the pre-determined analysis index and the original data of the analysis index under different rainfall and overflow weir height conditions.

[0035] Specifically, the analysis index includes the overflow volume reduction rate, the overflow load reduction rate, the accumulated water depth, and the accumulated water area.

[0036] In this embodiment, the original data of the analysis index under different rainfall and overflow weir height conditions is obtained by simulating with the urban drainage model constructed by Infoworks ICM software. Taking a certain area as the target area, the rainfall in this area is mainly moderate to heavy rain throughout the year. Therefore, three design rainfalls are selected for simulation in the urban drainage model, namely moderate rain, heavy rain, and rainstorm. At the same time, taking the overflow weir height as the analysis object, taking the ratio of it to the current pipe diameter, and setting each 5% pipe diameter height as a working condition, with the highest accounting for 75% of the pipe diameter. The original data of the overflow volume reduction rate, the overflow load reduction rate, the accumulated water depth, and the accumulated water area under different rainfall and overflow weir height conditions are obtained through the urban drainage model simulation, as shown in Tables 1-3.

[0037] Table 1 Original data table of analysis index under moderate rain condition for different overflow weir heights

[0038] Weir height Discharge reduction rate Overflow load reduction rate Ponding depth Ponding area 5% pipe diameter 0.11% 0.11% 0.00 0.00 10% pipe diameter 0.25% 0.39% 0.00 0.00 15% pipe diameter 0.40% 0.74% 0.00 0.00 20% pipe diameter 0.89% 1.85% 0.00 0.00 25% pipe diameter 1.28% 2.76% 0.00 0.00 30% pipe diameter 2.08% 4.00% 0.02 20.82 35% pipe diameter 2.67% 5.00% 0.02 151.61 40% pipe diameter 4.45% 5.66% 0.14 566.27 45% pipe diameter 6.30% 8.88% 0.18 954.06 50% pipe diameter 8.74% 12.64% 0.40 1347.33 55% pipe diameter 10.74% 15.46% 0.42 1652.26 60% pipe diameter 13.34% 19.75% 0.49 2229.77 65% pipe diameter 15.82% 23.43% 0.56 2486.90 70% pipe diameter 18.43% 27.93% 0.62 2187.97 75% pipe diameter 21.12% 31.79% 0.69 2283.65

[0039] Table 2 Original data table of analysis indicators under different overflow weir heights in heavy rain conditions

[0040] Weir height Discharge reduction rate Overflow load reduction rate Ponding depth Ponding area 5% pipe diameter 1.15% 0.54% 1.00 5690.68 10% pipe diameter 0.88% 1.01% 1.02 5680.59 15% pipe diameter 2.15% 1.56% 1.02 6251.20 20% pipe diameter 4.64% 2.19% 1.03 5842.85 25% pipe diameter 6.19% 2.92% 1.03 5689.13 30% pipe diameter 7.44% 3.83% 1.04 6001.11 35% pipe diameter 9.25% 4.95% 1.04 6254.41 40% pipe diameter 12.43% 6.80% 1.05 6602.20 45% pipe diameter 15.50% 8.89% 1.06 6475.59 50% pipe diameter 20.16% 11.76% 1.14 6758.52 55% pipe diameter 21.76% 13.49% 1.17 7205.07 60% pipe diameter 26.55% 16.08% 1.22 7181.04 65% pipe diameter 30.32% 18.67% 1.28 7308.95 70% pipe diameter 33.10% 21.33% 1.34 7387.02 75% pipe diameter 35.12% 24.02% 1.40 7529.21

[0041] Table 3 Original data table of analysis indicators under different overflow weir heights in rainstorm conditions

[0042] Weir height Discharge reduction rate Overflow load reduction rate Ponding depth Ponding area 5% pipe diameter 0.75% 0.82% 1.57 10242.23 10% pipe diameter 2.00% 1.47% 1.59 10022.61 15% pipe diameter 3.18% 2.15% 1.60 11195.82 20% pipe diameter 4.94% 2.93% 1.62 10057.45 25% pipe diameter 6.60% 3.78% 1.64 9557.75 30% pipe diameter 9.09% 4.82% 1.67 10036.76 35% pipe diameter 11.68% 6.05% 1.69 10579.39 40% pipe diameter 15.43% 7.86% 1.73 10678.49 45% pipe diameter 18.33% 9.93% 1.76 10117.88 50% pipe diameter 22.04% 13.19% 1.83 10757.41 55% pipe diameter 24.65% 14.48% 1.85 11318.23 60% pipe diameter 26.83% 17.11% 1.89 11231.99 65% pipe diameter 28.52% 19.42% 1.91 12511.05 70% pipe diameter 29.50% 21.66% 1.93 12641.47 75% pipe diameter 32.07% 24.05% 1.94 13165.58

[0043] Step 2: Standardize the original data of the analysis indicators to obtain the standard data of the analysis indicators, and screen the maximum and minimum values corresponding to each analysis indicator in the standard data. Specifically, it includes:

[0044] 2.1. Divide the analysis indicators into positive indicators and negative indicators.

[0045] Specifically, the larger the positive indicator, the better, and the smaller the negative indicator, the better. Therefore, the positive indicators include the overflow discharge reduction rate and the overflow load reduction rate, and the negative indicators include the ponding depth and the ponding area.

[0046] 2.2. Standardize the original data of the positive indicators and negative indicators respectively to eliminate the influence of the dimension of each indicator.

[0047] The standardization processing of the original data of the positive indicators is expressed as:

[0048] ;

[0049] The standardization processing of the original data of the negative indicators is expressed as:

[0050] ;

[0051] Among them, represents the standard data of the jth analysis indicator of the ith analysis object, represents the original data of the jth analysis indicator of the ith analysis object, represents the maximum value of the original data of the jth analysis indicator among all analysis objects, represents the minimum value of the original data of the jth analysis indicator among all analysis objects.

[0052] In this embodiment, the analysis objects are different overflow weir heights.

[0053] The standard data of the analysis indicators under different rainfall and overflow weir height conditions are shown in Tables 4 - 6.

[0054] Table 4 Standard data table of analysis indicators under different overflow weir heights in moderate rain conditions

[0055] Weir height Discharge reduction rate Overflow load reduction rate Ponding depth Ponding area 5% pipe diameter 0 0 1 1 10% pipe diameter 0.0069 0.0090 1 1 15% pipe diameter 0.0140 0.0199 1 1 20% pipe diameter 0.0374 0.0550 1 1 25% pipe diameter 0.0561 0.0836 1 1 30% pipe diameter 0.0349 0.0365 0.9782 0.9916 35% pipe diameter 0.1219 0.1545 0.9782 0.9390 40% pipe diameter 0.2068 0.1753 0.7933 0.7723 45% pipe diameter 0.2948 0.2767 0.7395 0.6164 50% pipe diameter 0.4108 0.3955 0.4134 0.4582 55% pipe diameter 0.5061 0.4847 0.3902 0.3356 60% pipe diameter 0.6298 0.6199 0.2912 0.1034 65% pipe diameter 0.7478 0.7363 0.1891 0 70% pipe diameter 0.8719 0.8781 0.0923 0.1202 75% pipe diameter 1 1 0 0.0817

[0056] Table 5 Standard data table of analysis indicators under heavy rain conditions with different overflow weir heights

[0057] Weir height Discharge reduction rate Overflow load reduction rate Ponding depth Ponding area 5% pipe diameter 0.0077 0 1 0.9945 10% pipe diameter 0 0.0203 0.9671 1 15% pipe diameter 0.0370 0.0434 0.9468 0.6913 20% pipe diameter 0.1098 0.0704 0.9342 0.9122 25% pipe diameter 0.1551 0.1017 0.9215 0.9954 30% pipe diameter 0.0403 0.0378 0.9088 0.8266 35% pipe diameter 0.2445 0.1881 0.8962 0.6896 40% pipe diameter 0.3373 0.2669 0.8835 0.5015 45% pipe diameter 0.4271 0.3555 0.8455 0.5699 50% pipe diameter 0.5632 0.4779 0.6607 0.4169 55% pipe diameter 0.6099 0.5516 0.5873 0.1753 60% pipe diameter 0.7498 0.6620 0.4430 0.1883 65% pipe diameter 0.8598 0.7719 0.2930 0.1191 70% pipe diameter 0.9412 0.8853 0.1491 0.0769 75% pipe diameter 1 1 0 0.0000

[0058] Table 6 Standard data table of analysis indicators under rainstorm conditions with different overflow weir heights

[0059] Weir height Discharge reduction rate Overflow load reduction rate Ponding depth Ponding area 5% pipe diameter 0 0 1 0.8103 10% pipe diameter 0.0399 0.0283 0.9568 0.8712 15% pipe diameter 0.0776 0.0574 0.9054 0.5460 20% pipe diameter 0.1338 0.0908 0.8540 0.8615 25% pipe diameter 0.1866 0.1275 0.8000 1.00 30% pipe diameter 0.0946 0.0458 0.7405 0.8672 35% pipe diameter 0.3489 0.2252 0.6729 0.7168 40% pipe diameter 0.4686 0.3034 0.5702 0.6894 45% pipe diameter 0.5613 0.3921 0.4837 0.8447 50% pipe diameter 0.6796 0.5327 0.2999 0.6675 55% pipe diameter 0.7631 0.5883 0.2304 0.5120 60% pipe diameter 0.8326 0.7011 0.1397 0.5359 65% pipe diameter 0.8865 0.8007 0.0768 0.1814 70% pipe diameter 0.9180 0.8973 0.0352 0.1453 75% pipe diameter 1 1 0 0

[0060] 2.3. Screen the maximum and minimum values corresponding to each analysis indicator in the standard data.

[0061] Specifically, screen the standard data of the j-th analysis indicator among all analysis objects, and record the maximum value as , and record the minimum value as .

[0062] Step 3: Calculate the weight of each analysis indicator according to the standard data.

[0063] Specifically, calculate the information entropy value of the j-th analysis indicator according to the standard data, which is expressed as:

[0064] ;

[0065] where n represents the total number of analysis objects, k represents a constant, .

[0066] The information utility value of the j-th analysis indicator is expressed as:

[0067] .

[0068] The weight of the j-th analysis indicator is expressed as:

[0069] ;

[0070] where m represents the total number of analysis indicators.

[0071] The weight obtained by the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method is more in line with the requirements of actual engineering applications, avoiding the problem of unreasonable optimization results caused by objective weight imbalance.

[0072] The information entropy values, information utility values, and weights of each analysis indicator under different rainfall and overflow weir height conditions are shown in Tables 7-9.

[0073] Table 7 Information Entropy Values, Information Utility Values and Weights of Each Index under Moderate Rain Conditions

[0074] Analysis index Information entropy value Information utility value Weight (%) Discharge reduction rate 0.867 0.133 29.539 Overflow load reduction rate 0.85 0.15 33.305 Ponding depth 0.946 0.054 11.977 Ponding area 0.887 0.113 25.178

[0075] Table 8 Information Entropy Values, Information Utility Values and Weights of Each Index under Heavy Rain Conditions

[0076] Analysis index Information entropy value Information utility value Weight (%) Discharge reduction rate 0.894 0.106 25.111 Overflow load reduction rate 0.866 0.134 31.876 Ponding depth 0.889 0.111 26.463 Ponding area 0.93 0.07 16.55

[0077] Table 9 Information Entropy Values, Information Utility Values and Weights of Each Index under Rainstorm Conditions

[0078] Analysis index Information entropy value Information utility value Weight (%) Discharge reduction rate 0.867 0.133 29.539 Overflow load reduction rate 0.85 0.15 33.305 Ponding depth 0.946 0.054 11.977 Ponding area 0.887 0.113 25.178

[0079] Step Four: Calculate the comprehensive score index based on the maximum and minimum values and weights corresponding to each analysis index.

[0080] Specifically, calculate the distance between the i-th analysis object and the maximum value as the positive ideal distance, denoted as:

[0081] ;

[0082] Calculate the distance between the i-th analysis object and the minimum value as the negative ideal distance, denoted as:

[0083] ;

[0084] Furthermore, and respectively represent the distances of the analysis object from the optimal or worst solution. The larger the value, the farther the distance. The larger the value, the farther the distance from the optimal solution; The larger the value, the farther the distance from the worst solution. The most ideal analysis object is with a smaller value while a larger value.

[0085] The comprehensive score index is denoted as:

[0086] .

[0087] Step Five: Determine the layout height of the overflow weir based on the comprehensive score index.

[0088] The sorting under different rainfall and overflow weir height conditions is shown in Tables 10 - 12.

[0089] Table 10 Sorting Table under Moderate Rain Conditions with Different Overflow Weir Heights

[0090] Weir height Positive ideal solution distance (D+) Negative ideal solution distance (D-) Comprehensive score index Ranking 5% pipe diameter 0.79003082 0.60731529 0.43462052 12 10% pipe diameter 0.78521125 0.60411783 0.43482703 11 15% pipe diameter 0.77916564 0.4798215 0.38111708 15 20% pipe diameter 0.72950431 0.56617946 0.43697349 10 25% pipe diameter 0.70080268 0.60218942 0.46215892 7 30% pipe diameter 0.67932044 0.53719566 0.44158533 9 35% pipe diameter 0.65618037 0.49409981 0.42954735 13 40% pipe diameter 0.62789055 0.4572598 0.42137921 14 45% pipe diameter 0.55597784 0.50331233 0.47514113 6 50% pipe diameter 0.51975509 0.49779465 0.48920915 5 55% pipe diameter 0.57043562 0.48587666 0.45997445 8 60% pipe diameter 0.52391046 0.55279076 0.51341148 4 65% pipe diameter 0.53163309 0.61202964 0.53514871 3 70% pipe diameter 0.54539318 0.67173253 0.5519007 2 75% pipe diameter 0.58802495 0.72865204 0.55340227 1

[0091] Table 11 Ranking Table under Heavy Rain Conditions with Different Overflow Weir Heights

[0092] [[ID= ​ ​ ​ ​ ​ 0.75854955 0.61248952 0.44673382 14 ​ 0.73323039 0.60861081 0.45356396 13 ​ 0.7314504 0.52237767 0.41662624 15 ​ 0.68318105 0.57061576 0.45511024 12 ​ 0.65388508 0.59147713 0.47494386 8 ​ 0.62004938 0.54637733 0.46841977 10 ​ 0.59211492 0.50292648 0.45927622 11 ​ 0.55043729 0.4973756 0.47467979 9 ​ 0.50457667 0.5483111 0.5207688 3 ​ 0.50364626 0.53626079 0.51568146 5 ​ 0.5203924 0.54067392 0.50955714 6 ​ 0.51915121 0.5925108 0.53299546 1 ​ 0.58714169 0.60381268 0.506999 7 ​ 0.59901161 0.64564789 0.51873455 4 ​ 0.6375396 0.70665865 0.52571014 2

[0093] Table 12 Ranking Table under Rainstorm Conditions with Different Overflow Weir Heights

[0094] ​ ​ ​ ​ ​ ​ 0.79003082 0.60731529 0.43462052 13 ​ 0.78521125 0.60411783 0.43482703 12 ​ 0.77916564 0.4798215 0.38111708 16 ​ 0.72950431 0.56617946 0.43697349 11 ​ 0.70080268 0.60218942 0.46215892 8 ​ 0.67932044 0.53719566 0.44158533 10 ​ 0.65618037 0.49409981 0.42954735 14 ​ 0.62789055 0.4572598 0.42137921 15 ​ 0.55597784 0.50331233 0.47514113 7 ​ 0.51975509 0.49779465 0.48920915 6 ​ 0.57043562 0.48587666 0.45997445 9 ​ 0.52391046 0.55279076 0.51341148 5 65% pipe diameter 0.53163309 0.61202964 0.53514871 4 70% pipe diameter 0.54539318 0.67173253 0.5519007 3 75% pipe diameter 0.58802495 0.72865204 0.55340227 2

[0095] It can be seen that during moderate and heavy rain, the weir height with a 75% pipe diameter ratio has a better effect, and during heavy rain, the 60% pipe diameter ratio has a better effect, followed by the 75% pipe diameter ratio. The larger the comprehensive score index, the better the plan. Considering the results of various rainfall patterns, the setting range of the overflow weir height is between 60% and 75% of the pipe diameter, and the optimal height is 75% of the pipe diameter ratio.

[0096] Example 2

[0097] This example provides an optimization system for arranging the height of the outfall overflow weir, including:

[0098] An original data acquisition module for acquiring predetermined analysis indicators and the original data of the analysis indicators under different rainfall and overflow weir height conditions.

[0099] A normalization processing module for normalizing the original data of the analysis indicators to obtain the standard data of the analysis indicators, and screening the maximum and minimum values corresponding to each analysis indicator in the standard data.

[0100] A weight calculation module for calculating the weights of each analysis indicator according to the standard data.

[0101] A comprehensive score index calculation module for calculating the comprehensive score index based on the maximum and minimum values and weights corresponding to each analysis indicator.

[0102] A plan determination module for determining the arrangement height of the overflow weir based on the comprehensive score index.

[0103] Example 3

[0104] This example provides a device, including: a memory, a processor, and a computer program;

[0105] wherein, the computer program is stored in the memory and is configured to be executed by the processor to implement the method described in Example 1.

[0106] Example 4

[0107] This example provides a computer-readable storage medium, on which a computer program is stored, and the computer program implements the method described in Example 1 when executed by a processor.

[0108] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0109] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0110] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device that implements the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0111] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0112] The above is only the preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the technical principle of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be regarded as the protection scope of the present invention.

Claims

1. An optimization method for arranging the height of a spillway weir, characterized in that, Including: Obtain pre-determined analysis indicators and the original data of the analysis indicators under different rainfall and overflow weir height conditions; Standardize the original data of the analysis indicators to obtain the standard data of the analysis indicators, and screen the maximum and minimum values corresponding to each analysis indicator in the standard data; Calculate the weights of each analysis indicator according to the standard data; Calculate the comprehensive score index based on the maximum and minimum values and weights corresponding to each analysis indicator; Determine the layout height of the overflow weir based on the comprehensive score index.

2. The optimization method for arranging the height of the outlet overflow weir according to claim 1, characterized in that, The analysis indicators include the overflow volume reduction rate, the overflow load reduction rate, the ponding depth, and the ponding area.

3. The optimization method for arranging the height of the outlet overflow weir according to claim 2, wherein, The standardizing the original data of the analysis indicators to obtain the standard data of the analysis indicators includes: Divide the analysis indicators into positive indicators and negative indicators; the positive indicators include the overflow volume reduction rate and the overflow load reduction rate, and the negative indicators include the ponding depth and the ponding area; Standardize the original data of the positive indicators and negative indicators respectively; The standardization processing of the original data of the positive indicators is expressed as: ； The standardization processing of the original data of the negative indicators is expressed as: ； Among them, represents the standard data of the j-th analysis index of the i-th analysis object, represents the original data of the j-th analysis index of the i-th analysis object, represents the maximum value of the original data of the j-th analysis index among all analysis objects, represents the minimum value of the original data of the j-th analysis index among all analysis objects.

4. The optimization method for arranging the height of the outlet overflow weir according to claim 3, characterized in that: The screening of the maximum and minimum values corresponding to each analysis indicator in the standard data includes: Screen the standard data of the j-th analysis index among all analysis objects, and record the maximum value as , and record the minimum value as .

5. The optimization method for arranging the height of the outlet overflow weir according to claim 4, characterized in that, The calculating the weights of each analysis indicator according to the standard data includes: Calculate the information entropy value of the j-th analysis index according to the standard data , which is expressed as: ； where n represents the total number of analysis objects, and k represents a constant, ; The information utility value of the j-th analysis index , expressed as: ； The weight of the j-th analysis index , expressed as: ； Where m represents the total number of analysis indicators.

6. The optimization method for arranging the height of the outlet overflow weir according to claim 5, characterized in that, The calculating the comprehensive score index based on the maximum and minimum values and weights corresponding to each analysis indicator includes: Calculate the distance between the i-th analysis object and the maximum value which is expressed as: ； Calculate the distance between the i-th analysis object and the minimum value which is expressed as: ； The comprehensive score index is expressed as: 。 7. An optimization system for arranging the height of a drain outlet overflow weir, characterized in that, Including: An original data acquisition module for obtaining pre-determined analysis indicators and the original data of the analysis indicators under different rainfall and overflow weir height conditions; A standardization processing module for standardizing the original data of the analysis indicators to obtain the standard data of the analysis indicators, and screening the maximum and minimum values corresponding to each analysis indicator in the standard data; A weight calculation module for calculating the weights of each analysis indicator according to the standard data; A comprehensive score index calculation module for calculating the comprehensive score index based on the maximum and minimum values and weights corresponding to each analysis indicator; A scheme determination module for determining the layout height of the overflow weir based on the comprehensive score index.

8. A device, characterized in that, Including: A memory, a processor, and a computer program; Wherein, the computer program is stored in the memory and is configured to be executed by the processor to implement the method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, A computer program is stored thereon, and when the computer program is executed by a processor, the method according to any one of claims 1-6 is implemented.

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